• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.5
• /
• pp.219-227
• /
• 2019

Manufacturing methods have been changed from labor-intensive methods to technological intensive methods centered on manufacturing facilities. As manufacturing facilities replace human labour, the importance of monitoring and managing manufacturing facilities is emphasized. In addition, Big Data technology has recently emerged as an important technology to discover new value from limited data. Therefore, changes in manufacturing industries have increased the need for smart factory that combines IoT, information and communication technologies, sensor data, and big data. In this paper, we present strategies for existing domestic manufacturing factory to becom big data based smart-factory through technologies for distributed storage and processing of manufacturing facility data in MongoDB in real time and visualization using R programming.

• Journal of Technology Innovation
• /
• v.31 no.2
• /
• pp.135-172
• /
• 2023

When discussing a company's technology management, manufacturing companies' innovation strategy is vital because it is connected to each company's competitive advantage in various ways, such as technology acquisition, R&D, and product innovation. The research on manufacturing companies' innovation strategies has been studied in various ways, such as performance and resources for innovation; however, very little research has been done to synthesize existing research outcomes. In this study, we conduct a systematic literature review of 51 articles related to manufacturing companies' innovation strategies. By doing so, we synthesized the results of extant studies based on three perspectives: the research target, the research focus, and the types of innovation strategies. In addition, I derived the unique properties of the research on manufacturing companies' innovation strategies. The analysis indicated that Korea's research on manufacturing companies' innovation strategies had been unequally distributed. Based on this, we suggested research agendas for future research on manufacturing companies' innovation strategies.

• Journal of the Korean Society for Precision Engineering
• /
• v.22 no.9 s.174
• /
• pp.107-114
• /
• 2005

With the recent progress in flexible manufacturing systems (FMS) in industry, increasing attention has been given to Automatic Guided Vehicle (AGV) systems. An AGV is a self-powered unit for transporting materials between stations without needing to be controlled by an operator. Such a system has several sensors to recognize the external state, and it is designed to travel between stations automatically without external assistance. To manage each device automatically in real time it requires a distributed controller with a main computer as the host, as well as a number of micro-controllers. In this study, an AGV system with dual motor drive was constructed. A Pentium 4 personal computer was set up as the main host for the distributed control, and this communicated with other micro-controllers in the management of the motor. The speed of each motor was also controlled by a micro-controller.

• Journal of the Korean Society for Precision Engineering
• /
• v.15 no.9
• /
• pp.82-92
• /
• 1998

An international standard for the product model data, STEP, and a standard for the distributed object technology, CORBA, will play a very important role in the future manufacturing environment. These two technologies provide background for the sharing of product data and the integration of applications on the network. This paper describes a prototype CAD/CAE environment that is integrated on the network by STEP and CORBA. Several application servers and client software were developed to verify the proposed concept. The present CAD/CAE environments are composed of several individual software components which are not tightly integrated. They also do not utilize the rapidly expanding network and object technologies for the collaboration in the product design process. In the design process in a large organization, sharing of application resources, design data and analysis data through the network will greatly enhance the productivity. The integration between applications can be supported by two key technologies, CORBA(Common Object Request Broker Architecture) and STEP(Standard for the Exchange of Product Model Bata). The CORBA provides interoperability between applications on different machines in heterogeneous distributed environments and seamlessly interconnects distributed object systems. Moreover, if all the data in the CAD/CAE environment are based on the STEP, then we can exclude all the data conversion problems between the application systems.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.41 no.4
• /
• pp.179-188
• /
• 2018

Recently, blockchain technology has been recognized as one of the most important issues for the 4th Industrial Revolution which can be represented by Artificial Intelligence and Internet of Things. Cryptocurrency, named Bitcoin, was the first successful implementation of blockchain, and it triggered the emergence of various cryptocurrencies. In addition, blockchain technology has been applied to various applications such as finance, healthcare, manufacturing, logistics as well as public services. Distributed consensus algorithm is an essential component in blockchain, and it enables all nodes belonging to blockchain network to make an agreement, which means all nodes have the same information. For example, Bitcoin uses a consensus algorithm called Proof-of-Work (PoW) that gives possession of block generation based on the computational volume committed by nodes. However, energy consumption for block generation in PoW has drastically increased due to the growth of computational performance to prove the possession of block. Although many other distributed consensus algorithms including Proof-of-Stake are suggested, they have their own advantages and limitations, and new research works should be proposed to overcome these limitations. For doing this, above all things, we need to establish an evaluation method existing distributed consensus algorithms. Based on this motivation, in this work, we suggest and analyze assessment items by classifying them as efficiency and safety perspectives for investigating existing distributed consensus algorithms. Furthermore, we suggest new assessment criteria and their implementation methods, which can be used for a baseline for improving performance of existing distributed consensus algorithms and designing new consensus algorithm in future.

• Journal of Digital Contents Society
• /
• v.18 no.6
• /
• pp.1175-1182
• /
• 2017

Recent trend in the manufacturing industry is focused on the convergence with IoT and Big Data, by emergence of the 4th Industrial Revolution. To realize a smart factory, the proposed system based on MTConnect technology collects and integrates various status information of machines from many production facilities including heterogeneous devices. Also it can distribute the acquisited status of heterogeneous manufacturing machines to the remote devices. As a key technology of a flexible automated production line, the proposed system can provide much possibility to manage important information such as error detection and processing state management in the unmanned automation line.

• International Area Studies Review
• /
• v.20 no.2
• /
• pp.47-62
• /
• 2016

This paper is to set up the empirical model in order to estimate industrial markup and to analyze the determinants for industrial markup by estimating the factor price elasticities of markup in the Korean manufacturing industries using the autoregressive distributed model. The import price elasticities of markup were estimated to be -1.025, -0.176, and -0.260 respectively in Machinery products, Chemical products, and Metallics which proved to have higher ratios of imported intermediate goods to industrial output. The interest elasticities of markup were also estimated to be -0.165, -0.147, and -0.210 respectively in Chemical products, Metallics, and Machinery products which are capital-intensive industries. Thus, the paper suggests that both import price index and interest rate have had more decisive effects on the changes in industrial markup in the Korean manufacturing industries, in particular, since the foreign currency crisis beginning in late 1997.

• Journal of the Society of Naval Architects of Korea
• /
• v.42 no.4 s.142
• /
• pp.411-420
• /
• 2005

World leading company and research centers have invested much cost and effort into a PLM and digital manufacturing field to obtain their own competitiveness. We have been trying to apply a digital manufacturing, especially simulation to ship production process as a part of PLM implementation for a shipyard. A shipbuilding production system and processes have a complexity and a peculiarity different from other kinds of production systems. So, new analysis and modeling methodology is required to implement digital shipyard. which is a digital manufacturing system for a shipbuilding company. This paper suggests an analysis and simulation modeling methodologies for an implementation of a digital shipyard. New methodologies such as a database-merged simulation, a distributed simulation, a modular simulation with a model library and a 3-tire simulation framework are developed.

• Journal of the Society of Naval Architects of Korea
• /
• v.36 no.4
• /
• pp.128-136
• /
• 1999

This paper suggests a new object-oriented methodology, ESBD(Evolutionary Simulation Based Design), for the development of an automated manufacturing system in shipbuilding. The target system, AHMS(Automated Hull-piece Manufacturing System), is a virtualized and distributed system controlling the manufacturing processes of storing, surface-pretreatment, cutting, 1st and 2nd curvature generation of material plates. The control and product-flow simulation is applied for the real-time product monitoring and product data management(PDM). The prototype system of AHMS also outlines the layout of the new automated factory.

• Journal of Practical Engineering Education
• /
• v.12 no.1
• /
• pp.177-186
• /
• 2020

The purpose of this study is to view the current status of the smart manufacturing ecosystem and to use it as an objective basis for establishing a sustainable manpower training policy support plans for smart manufacturing suppliers. Therefore, questionnaires were constructed and distributed to 2,200 domestic smart manufacturing supply firms and 6,000 demand firms, which received responses from 259 supply firms and 155 demand firms. The results showed that both supply and demand firms needed digital converged workforce with comprehensive expertise and field-oriented digital transformation workforce. In the method of securing professional manpower, the demand for in-service training and post-management training was high. Based on the results of this study, this study suggests the manpower training policy support plans for smart manufacturing supply firms and contributes to strengthening the global market competitiveness of smart manufacturing supply firms in Korea.